Evaluation of genes expression in Multiple sclerosis disease: In silico study
Evaluation of genes expression in Multiple sclerosis disease: In silico study
Atefeh Bahmani,1,*Mohammad Reza Dabbagh,2
1. Department of Biology, Faculty of Science, Shahid Chamran University of Ahvaz, Ahvaz, Iran. 2. Department of Biology, Faculty of Science, Shahid Chamran University of Ahvaz, Ahvaz, Iran.
Introduction: Multiple sclerosis (MS) is a chronic inflammatory and demyelinating disease of autoimmune origin. Major contributors to the MS development include exogenous, environmental, and genetic factors. MS is characterized by multifocal and temporally scattered damage to the central nervous system (CNS) resulting in axonal damage. Current therapeutic options for progressive multiple sclerosis are comparatively disappointing and challenging. One possible explanation is the lack of understanding of the pathogenic mechanisms underlying progressive multiple sclerosis. In addition, imaging techniques and biomarkers are not yet well established. MS Genome-wide association studies have identified many genes involved in immune regulation, and the next step will be to elucidate how these genetic variations influence immune cell function to drive disease development and progression. However, much of the remaining genetic contribution to MS has not been elucidated. The main aim of this study is to investigation and prediction expression changes of some genes in MS disease.
Methods: First, the keywords MS or multiple sclerosis were searched in the GEO dataset, and the data of GSE146383 was selected for the study. In addition, in order to analyze these data, Transcriptome Analysis Console (TAC) program was used. Finally, the results of the study were also reviewed in the PubMed database.
Results: Considering the P-value < 0.05 and Log2FC > 5, Discoidin Domain Receptor tyrosine kinase1 (DDR1), Replication Factor C subunit2 (RFC2), and Heat Shock Protein (HSPA6) genes showed the most expression change in patients with MS disease compared to control samples.
Conclusion: The results of this study show increased expression of HSPA6, RFC2 and DDR1 genes. Therefore, these genes may play an effective role in the pathogenesis and treatment of MS. It is also suggested that the expression data of these genes can be used as a diagnostic biomarker in the diagnosis of this disease. Although the results of this study show new prognoses about MS disease, more studies are needed in this field.